[Remote] Senior Security Intelligence Engineer, Amazon Customer Ecosystems (ACES) Intelligence

Note: The job is a remote job and is open to candidates in USA. Amazon is a leading company in the technology sector, and they are seeking a Senior Security Intelligence Engineer to enhance their cyber threat intelligence capabilities. The role involves analyzing cyber threats, developing intelligence insights, and creating security automation techniques to protect Amazon's ecosystems.

Responsibilities

• Perform deep dive analysis of malicious artifacts
• Analyze large and unstructured data sets to discover new threats, uncover trends, and identify anomalies indicative of malicious activities
• Create security techniques and automation for internal use that enable you and others to operate at high speed and broad scale
• Develop and use generative AI and agentic workflows to scale yourself and others' analytical capabilities
• Contribute to Amazon's understanding of the current threat landscape and the techniques, tactics, and procedures associated with specific threats
• Draft and publish finished written threat intelligence products based on findings
• Periodic on-call responsibilities

Skills

• 5+ years of work in identifying security issues and risks, and developing mitigation plans experience
• 2+ years of professional work experience, or experience in SQL or other relational databases
• BS degree in Computer Science, Management of Information Systems (MIS), Computer Engineering, or similar degree, or 5+ years equivalent technology experience without a degree
• 5 years experience with tracking high-sophistication cyber threat groups
• 5 years experience across system security, network security, application security, and/or digital forensics
• 4 years experience building scripting and automation using Python or similar programming languages
• MS degree in Computer Science, Management of Information Systems (MIS), Computer Engineering, or similar degree
• Strong understanding of Windows, Linux, and or OS X internals
• Experience with malware analysis, network flow analysis, and large scale data analysis
• Experience with modern threat intelligence platforms (TIPs), especially the Vertex Project's Synapse, and their APIs
• Experience building and conducting analysis leveraging AWS services. Experience building automated tools in the Python programming language
• Experience as a mentor, tech lead or leading an engineering team

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• Paid time off
• Parental leave
• Flexibility in working hours
• Ongoing DEI events and learning experiences
• Mentorship
• Training
• Career-advancing resources

Company Overview

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